Data Engineer (Developer)

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As a Data Engineer (Developer) Associate within the Data Enablement Competency, you will be responsible for supporting the development and maintenance of data pipelines. You will work alongside senior team members to gain hands-on experience in data engineering and DevOps practices, contributing to data integration efforts and ensuring the reliability of data processes.

Key Responsibilities:

• Assist in the development and maintenance of data pipelines to support the organisation’s data needs.
• Participate in testing and validation to ensure the accuracy and integrity of data solutions.
• Support the implementation of DevOps practices, including CI/CD pipelines and version control.
• Assist with quality assurance processes under the guidance of senior team members.
• Collaborate with team members to gather requirements and contribute to project delivery.
• Assist in optimising data pipelines for performance and scalability.
• Stay up to date with developments in data engineering and DevOps, learning from more senior colleagues.

Qualifications:

• Bachelor's degree or diploma in Computer Science, Information Systems, or a related field.
• Familiarity with SQL and ETL processes.
• Python advantageous.
• Interest in learning DevOps practices, including CI/CD pipelines and infrastructure as code.
• Strong problem-solving skills with a willingness to learn.
• Good communication and teamwork abilities.
• Attention to detail and a commitment to quality.
• Familiarity with data governance and data security practices is advantageous.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No

Job Posting End Date

January 2, 2025